A package for the sparse identification of nonlinear dynamical systems from data
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Updated
Jun 10, 2026 - Python
A package for the sparse identification of nonlinear dynamical systems from data
Kubernetes scanner that discovers LLMs running on vLLM and extracts their deployment and runtime facts.
Physically-informed model discovery of systems with nonlinear, rational terms using the SINDy-PI method. Contains functionality for spectral filtering/differentiation.
For OpenClaw, Hermes and more. Find free and low-cost inference (LLM models). Use them directly. Provides both a CLI and MCP server that knows which free-tier LLM APIs exist, which ones you have keys for, and which one fits your task. Returns endpoints so can you call models directly. No proxy, no middleware, no latency tax.
Complete list of AI models available via EvoLink API, with ready-to-use OpenClaw configurations
⚡ Production-ready Command Code provider for OpenCode (v1 & v2) — 67+ models, real-time auto-discovery, smart retry with jitter, and Plan Mode context
Uncertainty-penalized Bayesian information criterion (UBIC) for PDE Discovery
The official respository for noise-aware physics-informed machine learning (nPIML)
一个自部署的 LLM AI API Key 管理台,支持 SQLite 持久化、登录保护、模型识别、性能评测、批量管理和 Docker Compose 部署。
An auto-updating AI Model Catalog - Single binary CLI, REST/SSE Server - SDKs - Golang Package.
pi-t3chat t3.chat extension for Pi coding agent. 50+ frontier AI models (Claude Fable-5, GPT-5.6, Gemini 3.5, Grok 4.3, DeepSeek V4, Llama 4, Qwen 3) via t3.chat subscription. TLS impersonation, dynamic model discovery, tool calling, MCP wrapper tools.
A unified JavaScript SDK for connecting local applications to AI coding tools like Codex, Claude Code, OpenCode, and Ollama to save you API costs.
Model discovery based on Bayesian Evidence (a.k.a. marginal likelihood) and nonlinear Orthogonal Distance Regression.
This repository stores my personal projects related to data science studies.
Auto-discover local model providers (Ollama) and register their models with Pi on startup. Per-model context windows and capabilities, no /reload required.
Discovery registry for AI models, credentials, and pricing across local and cloud providers. Library, CLI, and HTTP API.
A skill to make agents search for better models
Parametric PDE discovery using UBIC (uncertainty-penalized Bayesian information criterion)
OpenCode plugin: dynamic model discovery for OpenAI-compatible relay/gateway endpoints + multi-key failover account pool with auto rotation, quarantine and weighted round-robin
Weak Identification of Analytic Systems
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